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Volumn 2661, Issue , 2003, Pages 46-60

The effect of missing data on learning classifier system learning rate and classification performance

Author keywords

[No Author keywords available]

Indexed keywords

CLUSTERING ALGORITHMS; DECISION TREES; LEARNING ALGORITHMS; LEARNING SYSTEMS; TREES (MATHEMATICS); CLASSIFICATION (OF INFORMATION); COMPUTER SIMULATION; DATA PROCESSING; DATA REDUCTION; ROBUSTNESS (CONTROL SYSTEMS);

EID: 0346325836     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-540-40029-5_4     Document Type: Conference Paper
Times cited : (8)

References (27)
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    • EDM: A general framework for data mining based on evidence theory
    • Anand S.S., Bell D.A., Hughes J.G.: EDM: a general framework for data mining based on evidence theory. Data & Knowledge Engineering (1996) 18(3):189-223.
    • (1996) Data & Knowledge Engineering , vol.18 , Issue.3 , pp. 189-223
    • Anand, S.S.1    Bell, D.A.2    Hughes, J.G.3
  • 6
    • 0005248932 scopus 로고    scopus 로고
    • Quantitative methods for evaluating learning classifier system performance In forced two-choice decision tasks
    • In: Wu, A. (ed.), Morgan Kaufmann, San Francisco
    • Holmes J.H.: Quantitative methods for evaluating learning classifier system performance In forced two-choice decision tasks. In: Wu, A. (ed.) Proceedings of the Second International Workshop on Learning Classifier Systems (IWLCS99). Morgan Kaufmann, San Francisco (1999), 250-257.
    • (1999) Proceedings of the Second International Workshop on Learning Classifier Systems (IWLCS99) , pp. 250-257
    • Holmes, J.H.1
  • 8
    • 0034192615 scopus 로고    scopus 로고
    • The Learning Classifier System: An evolutionary computation approach to knowledge discovery in epidemiologic surveillance
    • Holmes JH, Durbin DR, Winston FK: The Learning Classifier System: An evolutionary computation approach to knowledge discovery in epidemiologic surveillance. Artificial Intelligence in Medicine (2000) 19(1): 53-74.
    • (2000) Artificial Intelligence in Medicine , vol.19 , Issue.1 , pp. 53-74
    • Holmes, J.H.1    Durbin, D.R.2    Winston, F.K.3
  • 12
    • 84947787800 scopus 로고    scopus 로고
    • Springer-Verlag, Berlin
    • Kryszkiewicz, M.: Association rules in incomplete databases. Methodologies for Knowledge Discovery and Data Mining. Third Pacific-Asia Conference, PAKDD-99. Springer-Verlag, Berlin (1999), 84-93.
    • (1999) Association Rules in Incomplete Databases , pp. 84-93
    • Kryszkiewicz, M.1
  • 14
    • 0032986473 scopus 로고    scopus 로고
    • Comparison of genetic algorithms and other classification methods in the diagnosis of female urinary incontinence
    • Laurikkala J., Juhola M., Lammi S., Viikki K.: Comparison of genetic algorithms and other classification methods in the diagnosis of female urinary incontinence. Methods of Information in Medicine (1999), 38(2):125-131.
    • (1999) Methods of Information in Medicine , vol.38 , Issue.2 , pp. 125-131
    • Laurikkala, J.1    Juhola, M.2    Lammi, S.3    Viikki, K.4
  • 18
    • 0021203016 scopus 로고
    • Statistical approaches to the analysis of receiver operating characteristic (ROC) curves
    • McNeil, B.J., Hanley, J.A.: Statistical approaches to the analysis of receiver operating characteristic (ROC) curves. Med Decision Making (1984) 4:137-150.
    • (1984) Med Decision Making , vol.4 , pp. 137-150
    • McNeil Hanley, B.J.J.A.1
  • 19
    • 84942739912 scopus 로고    scopus 로고
    • Melli, Gabor: http://www.datasetgenerator.com/
    • Melli, G.1
  • 27
    • 0001387704 scopus 로고
    • Classifier fitness based on accuracy
    • Wilson, S.W.: Classifier fitness based on accuracy, Evolutionary Computation (1995) 3:149-175.
    • (1995) Evolutionary Computation , vol.3 , pp. 149-175
    • Wilson, S.W.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.